这是自己在网上收集和自己平时使用的一下命令和语句(适合新手学习),如有不对还请大家指出来
一.mysql(请注意命令之间存在空格)
cmd命令启动/关闭数据库:net start/stop mysql
打开mysql进入到命令行:mysql -u+用户名 -p+密码
首先我们在test数据库中来创建一个简单的user表:
use test;//使用test数据库
drop table if exists user;//如果存在user表就删除user表
create table user(
uid int primary key auto_increment,
uname varchar(8) not null,
sex char(2) default '男'
);
show tables from test; //查看所有表
desc user / show columns from user; //两者都能查看表结构
1.增加列(alter table + 表名 + add 列名 列类型 列参数):
例:alter table user add birth date not null default '0000-00-00';
插入列默认是表最后。如果想要指定插入列位置,则需要关键字first,after
alter table user add age int not null default '0' first /after uid;
2.修改列(
①alter table + 表名 + modify + 列名 + 新列类型 + 新列参数 (只修改类型和参数);
②alter table + 表名 + change + 旧列名 + 新列名 + 新列类型 + 新列参数(修改列名,类型和参数);
):
例: ① alter table user modify age varchar(2) not null;
② alter table user change age info text;
3.删除列(alter table + 表名 + drop + 列名):
例: alter table user drop info;
4.查看创建代码(show create table + 表名):
例: show create table user;
二.oracle
cmd命令启动/关闭监听器: lsnrctl start/stop
cmd命令启动/关闭服务:net start/stop oracleserviceorcl
待奉上...

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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